UAV Flight Path Recording and Automatic Control
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing flight route planning methods for unmanned aerial vehicles (UAVs) are prone to errors due to the limitations of satellite map accuracy and operator-dependent operations, leading to uncertain and risky autonomous flights.
Innovation Solution
A method that allows UAVs to record and control flight paths using a remote control or smart mobile device, with selectable flight modes such as GPS learning, GPS automatic, and manual modes, enabling real-time data storage and warning systems for conditions like GPS signal loss or storage fullness, allowing users to customize and manage flight paths effectively.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If flight route planning is formulated by operators based on satellite map, then the flight route can be set in advance, but the accuracy is limited and operation errors occur leading to uncertain factors and high risks
Solution Approach 1:
The UAV performs flight path recording and learning autonomously during manual flight operations. The system automatically captures position data, stores tracking information, and generates navigable flight paths without requiring operators to manually plan routes on satellite maps, thereby eliminating human error and improving reliability
Solution Approach 2:
The system records and stores flight path data during the manual flight phase, preparing the tracking data in advance for subsequent automatic flight execution. This preliminary data collection and storage process ensures that accurate flight path information is available before automatic operation begins
2Reliability
If multiple flight modes and real-time data storage are implemented, then flight control precision and safety are improved, but the device complexity increases
Solution Approach 1:
The flight control system integrates multiple flight modes (manual, GPS learning, GPS automatic) within a single unified platform. The same hardware system performs diverse functions including real-time data storage, position tracking, and automatic flight execution, avoiding the need for separate dedicated systems for each function
Solution Approach 2:
The system combines data storage, position tracking, and flight control functions into an integrated architecture. The flight control system simultaneously manages multiple operational modes and consolidates data handling processes, reducing overall system complexity while maintaining comprehensive functionality
Data Source
AI summary
The invention provides a method for recording a flight path and controlling automatic flight of an unmanned aerial vehicle. The method includes: controlling, by a remote control or a smart mobile terminal device, the unmanned aerial vehicle to fly following a certain flight path according to user's requirement, triggering the unmanned aerial vehicle to record the flight path, storing tracking data, and selecting a learning track to fly automatically, where a flight mode comprises at least GPS learning mode, GPS automatic mode, and manual mode. The unmanned aerial vehicle having the control mode can be triggered to fly automatically following the tracking data stored in the flight control device according to different application scenarios, thus increasing the user experience and entertainment. In the process of recording track, the unmanned aerial vehicle can fly at a low speed and meanwhile avoid obstacles, when flying automatically, the unmanned aerial vehicle can fly fast in a racing mode, further increasing the user experience. Meanwhile, in the automatic flight at a low speed, the unmanned aerial vehicle can take photographs, and the shot images are stable and clear. In certain application scenarios requiring a terrain recorder to record the track, through learning the actual flight track, it is unnecessary to employ other devices, thus saving the user's costs.